641 search results - page 6 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
115
Voted
EVOW
2003
Springer
15 years 5 months ago
2003
Springer
Genetic programming (GP) based data fusion and AdaBoost can both improve in vitro prediction of Cytochrome P450 activity by combining artificial neural networks (ANN). Pharmaceuti...
97
Voted
ICANN
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
TSMC
2008
15 years 13 days ago
2008
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
101
Voted
ICANN
2007
Springer
15 years 4 months ago
2007
Springer
This paper presents a novel system that performs text-independent speaker authentication using new spiking neural network (SNN) architectures. Each speaker is represented by a set ...
220
Voted
SERA
2007
Springer
15 years 6 months ago
2007
Springer
Capacity planning is a technique which can be used to predict the computing resource needs of an organization for the future after studying current usage patterns. This is of spec...